International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2572

Full Length Research Paper

Mapping the structure, evolution and geo-spatiality of a social media network

Sameer Kumar1* and Jariah Mohd. Jan2
  1Asia-Europe Institute, University of Malaya, 50603 Kuala Lumpur, Malaysia. 2Faculty of Languages and Linguistics, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Email: [email protected]

  •  Accepted: 27 February 2012
  •  Published: 23 March 2012

Abstract

 

Social media is the baby born out of the confluence of digital technology and human beings' desire to collaborate. Past researches in social media networks have mostly concentrated on investigation of large networks, which do not fully capture the micro-level dynamics of the network. In this study, an in-depth topological analysis of a small network (n=200) formed on Twitter during a 24 h period was carried out. The results showed that the network had both small-world and scale-free characteristics. Geo-spatiality revealed more interest by users in regions where the subject of tweets had its stake. The most influential nodes were those whose tweets got re-tweeted the most. Temporal analysis showed faster formation of network when there was a tweet of interest. Traditional news media had a powerful hold on the tweets being made by users. Communities formed around tweets of a certain theme and there was a common theme that kept the entire network together.

 

Key words: Twitter, social media analysis, NodeXL, social network analysis.